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Healthcare / AI2025Full-stack developer

CirrusAICareCloud Generative AI Healthcare Platform

Generative AI suite for healthcare teams, spanning documentation, call auditing, decision support, staff assistance, and appeals.

CirrusAI — CareCloud Generative AI Healthcare Platform
Stack
  • ↳Next.js
  • ↳Python
  • ↳Vertex AI
  • ↳OpenAI
  • ↳PostgreSQL
  • ↳Elastic UI
The problem

Challenges

  • 01Embedding multiple AI capabilities into healthcare workflows without breaking trust, compliance, or usability.
  • 02Generating real-time clinical documentation without slowing providers down.
  • 03Automating call QA and appeal generation while keeping outputs reviewable and useful.
  • 04Supporting diverse teams with multilingual workflows and tight system integration.
  • 05Ensuring the new AI layer fit seamlessly into existing EHR and RCM operations.
The work

Approach

  • 01Developed modular AI services using Vertex AI and OpenAI across clinical, operational, and billing use cases.
  • 02Built notes generation to turn conversations into EHR-ready documentation.
  • 03Created voice auditing and KPI tooling for call-center visibility and quality control.
  • 04Added clinical guidance, virtual support, and appeal automation modules to reduce repetitive staff work.
  • 05Integrated the system into existing CareCloud workflows so adoption did not depend on parallel processes.
The outcome

Results

  • 01Reduced provider documentation burden by enabling 20% more time for direct patient care.
  • 02Improved operational consistency through AI-assisted call auditing, decision support, and staff assistance.
  • 03Accelerated claims and reimbursement workflows with automated appeal generation.
  • 04Increased usability across practices through multilingual support and tight EHR integration.
  • 05Helped healthcare teams adopt AI inside mission-critical workflows instead of around them.
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